Deep learning-based denoising for improved dose efficiency in EDX tomography of nanoparticles
Journal article published in 2021 by
Alexander Skorikov,
Wouter Heyvaert 
,
Wiebke Albecht ,
Daniël M. Pelt ,
Sara Bals
,
Wiebke Albecht ,
Daniël M. Pelt ,
Sara Bals
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Abstract
Denoising elemental maps of nanoparticles using an artificial neural network trained on simulated data allows for a drastic reduction in acquisition time and electron dose requirements for EDX tomography of nanoparticles.